English

Deciphering Urban Morphogenesis: A Morphospace Approach

Computers and Society 2024-11-26 v2 Social and Information Networks Physics and Society

Abstract

Cities emerged independently across different world regions and historical periods, raising fundamental questions: How did the first urban settlements develop? What social and spatial conditions enabled their emergence? Are these processes universal or context-dependent? Moreover, what distinguishes cities from other human settlements? This paper investigates the drivers behind the creation of cities through a hybrid approach that integrates urban theory, the biological concept of morphospace (the space of all possible configurations), and archaeological evidence. It explores the transition from sedentary hunter-gatherer communities to urban societies, highlighting fundamental forces converging to produce increasingly complex divisions of labour as a central driver of urbanization. Morphogenesis is conceptualized as a trajectory through morphospace, governed by structure-seeking selection processes that balance density, permeability, and information as critical dimensions. The study highlights the non-ergodic nature of urban morphogenesis, where configurations are progressively selected based on their fitness to support the diversifying interactions between mutually dependent agents. The morphospace framework effectively distinguishes between theoretical spatial configurations, non-urban and proto-urban settlements, and contemporary cities. This analysis supports the proposition that cities emerge and evolve as solutions balancing density, permeability, and informational organization, enabling them to support increasingly complex societal functions.

Keywords

Cite

@article{arxiv.2411.13771,
  title  = {Deciphering Urban Morphogenesis: A Morphospace Approach},
  author = {Vini Netto and Caio Cacholas and Dries Daems and Fabiano Ribeiro and Howard Davis and Daniel Lenz},
  journal= {arXiv preprint arXiv:2411.13771},
  year   = {2024}
}

Comments

Version 2 includes 20 pages and 8 figures, with updates that correct typos, enhance Figure 8, and clarify items in the conclusion section

R2 v1 2026-06-28T20:07:14.850Z